Power system simulation tools are traditionally developed in sequential mode and codes are optimized for single core computing only. However, the increasing complexity in the power grid models requires more intensive computation. The traditional simulation tools will soon not be able to meet the grid operation requirements. Therefore, power system simulation tools need to evolve accordingly to provide faster and better results for grid operations. This paper presents an integrated state estimation and contingency analysis software implementation using high performance computing techniques. The software is able to solve large size state estimation problems within one second and achieve a near-linear speedup of 9,800 with 10,000 cores for contingency analysis application. The performance evaluation is presented to show its effectiveness.
Revised: January 20, 2016 |
Published: December 31, 2015
Citation
Chen Y., K.R. Glaesemann, M.J. Rice, and Z. Huang. 2015.Integrated State Estimation and Contingency Analysis Software Implementation using High Performance Computing Techniques. In 9th IFAC Symposium on Control of Power and Energy Systems (CPES 2015), December 9-11, 2015, New Delhi, India. IFLAC-PapersOnLine, edited by S Mishra, 48, 227-232. Amsterdam:Elsevier.PNNL-SA-109573.doi:10.1016/j.ifacol.2015.12.382